Queer Cybercultures and Digital Activism: Transformations in LGBTQ+ Digital Spaces
Bibliographic record
Abstract
THE IMPAC TS OF social media and digital technologies have become ubiquitous, especially in social movement organising and activism.LGBTQ activism and advocacy are significant when discussing how these digital platforms have been used in novel and transformative ways by activists from local and transnational contexts.This edited collection, prepared by Paromita Pain and titled LGBTQ Digital Cultures: A Global Perspective, takes a comprehensive and critical look at how social media and digital technologies have shaped LGBTQ activism (and vice versa), offering a transnational and intersectional perspective.In an incorporating introduction, Pain highlights the need for a broader examination of LGBTQ presence in online spaces, with a timely critique of the US and Western dominance within LGBTQ studies.Recognising the understudied aspects of the field, the collection provides a global perspective on queer cybercultures and digital activism.It is authored by researchers and activists bringing situated examples from different geographies, such as Bangladesh, Canada, China, the Dominican Republic, India, Iran, Mexico, the Philippines, Turkey, and the United States.The con-
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.026 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".